A study on application to gait analysis of joint torque estimation using wearable sensor system

Motion analysis is important in the field of sports and rehabilitation. The optical motion capture systems that are mainly used in motion analysis are expensive and have a limited range of measurement range. In previous studies, we have proposed a method for estimating joint torque in flexion and extension using a wearable motion sensor and a force plate. However, the result by proposed method was included the error more than the result by the optical motion capture method. In the measurement of a person walks, the vibration of the body and clothing caused by the impact of the foot on the ground is the error factors. Therefore, we proposed a method to reduce noise by using a vibration model considering the vibration caused by the shock in this study. The wearable sensor system was used to measure a 5-meter straight-line gait, and the effect of the roll angle pitch angle vibration was reduced by using the proposed model consisting of the spring and damper elements. It is possible to improve the performance of the posture estimation method by using this method.